International Journal of Innovative Research in Computer and Communication Engineering
ISSN Approved Journal | Impact factor: 8.771 | ESTD: 2013 | Follows UGC CARE Journal Norms and Guidelines
| Monthly, Peer-Reviewed, Refereed, Scholarly, Multidisciplinary and Open Access Journal | High Impact Factor 8.771 (Calculated by Google Scholar and Semantic Scholar | AI-Powered Research Tool | Indexing in all Major Database & Metadata, Citation Generator | Digital Object Identifier (DOI) |
| TITLE | Stock Market Trends Visualization: A Research Review on Data Visualization Techniques for Financial Analytics |
|---|---|
| ABSTRACT | The rapid growth of financial markets and the increasing complexity of stock price fluctuations have created a crucial need for advanced, intuitive, and interactive data visualization systems. Effective visualization techniques enable analysts, traders, and researchers to interpret large volumes of stock market data, uncover hidden patterns, and make informed decisions. This review paper explores the latest advancements in stock market visualization, focusing on graphical methods, interactive dashboards, and predictive analytics that support real-time decision-making. The study also highlights essential data visualization skills required to design meaningful visual representations, including time-series interpretation, volume analysis, trend forecasting, and anomaly detection. By synthesizing contributions from recent research, the review emphasizes how visualization tools enhance financial insight, reduce cognitive load, and support algorithmic trading strategies. The findings suggest that integrating machine learning with visualization interfaces significantly improves the interpretability of complex financial datasets and facilitates more accurate trend predictions. |
| AUTHOR | MOIN RAJJAK FAJLANI, PRIYANSHU BAIS, SHRINATH ANIL PAWAR, ADINATH BALASAHEB PAWAR, PROF. SACHIN SHINDE Students, Dept. of Computer Engineering, G H Raisoni International Skill Tech University, Pune, India Professor, Dept. of Computer Engineering, G H Raisoni International Skill Tech University, Pune, India |
| VOLUME | 177 |
| DOI | DOI: 10.15680/IJIRCCE.2025.1312019 |
| pdf/19_Stock Market Trends Visualization A Research Review on Data Visualization Techniques for Financial Analytics.pdf | |
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